John H. (Jack) Schuenemeyer, Ph.D is a consulting statistician, teacher, and researcher. Statistical analysis and modeling areas of application include earth and environmental sciences and energy. His recent work with the U.S. Bureau of Ocean and Energy Management and U.S. Geological Survey includes developing resource assessment models for conventional and unconventional energy resources. He has provided advice on statistical issues to numerous organizations including the U.S. Energy Information Administration, American Association for Petroleum Geology Committee on Resource Evaluation, Princeton University, and the Government of Norway. Models developed by Dr. Schuenemeyer have incorporated Monte Carlo simulation, linear and non-linear modeling, Bayesian and spatial statistics, and estimation by analogs and expert judgment. His expertise also includes the R-language and statistical and presentation graphics. He has given numerous invited talks and workshops in North America, Europe and Asia.
What we do
- Develop and apply data analytic and statistical methods for energy resource assessments, including conventional and unconventional oil, gas, and hydrates
- Develop protocols for the use of analogs and elicitation of expert judgment
- Develop models for earth and environmental science applications including groundwater and climate
- Work with client to identify and quantify major sources of uncertainty
- Help the clients make sense of large, messy data sets
- Teach short courses tailored to the needs of the client.